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The intracranial pressure curve correlates to the pulsatile component of cerebral blood flow
Current methods to measure cerebral blood flow (CBF) in the neuro critical care setting cannot monitor the CBF continuously. In contrast, continuous measurement of intracranial pressure (ICP) is readily accomplished, and there is a component of ICP that correlates with arterial inflow of blood into...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315053/ https://www.ncbi.nlm.nih.gov/pubmed/29549499 http://dx.doi.org/10.1007/s10877-018-0129-0 |
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author | Unnerbäck, Mårten Bloomfield, Eric L. Söderström, Sven Reinstrup, Peter |
author_facet | Unnerbäck, Mårten Bloomfield, Eric L. Söderström, Sven Reinstrup, Peter |
author_sort | Unnerbäck, Mårten |
collection | PubMed |
description | Current methods to measure cerebral blood flow (CBF) in the neuro critical care setting cannot monitor the CBF continuously. In contrast, continuous measurement of intracranial pressure (ICP) is readily accomplished, and there is a component of ICP that correlates with arterial inflow of blood into the cranial cavity. This property may have utility in using continuous ICP curve analysis to continuously estimate CBF. We examined the data from 13 patients, monitored with an intraventricular ICP device determining the pulsatile amplitude ICP(amp) as well as the area under the ICP curve (AUC(ICP)). Using an elastance measurement, the ICP curve was converted to craniospinal volume (AUC(ΔV)). The patients were examined with Phase Contrast Magnetic Resonance Imaging (MRI), measuring flow in the carotid and vertebral arteries. This made it possible to calculate CBF for one cardiac cycle (ccCBF(MRtot)) and divide it into the pulsatile (ccCBF(MRpuls)) and non-pulsatile (ccCBF(MRconst)) flow. ICP derived data and MRI measurements were compared. Linear regression was used to establish wellness of fit and ANOVA was used to calculate the P value. No correlation was found between ICP(amp) and the ccICP(MRpuls) (P = 0.067). In contrast there was a correlation between the AUC(ICP) and ccCBF(MRpuls) (R(2) = 0.440 P = 0.013). The AUC(ΔV) correlated more appropriately with the ccCBF(MRpuls). (R(2) = 0.688 P < 0.001). Our findings suggests that the pulsatile part of the intracranial pressure curve, especially when transformed into a volume curve, correlates to the pulsatile part of the CBF. |
format | Online Article Text |
id | pubmed-6315053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-63150532019-01-11 The intracranial pressure curve correlates to the pulsatile component of cerebral blood flow Unnerbäck, Mårten Bloomfield, Eric L. Söderström, Sven Reinstrup, Peter J Clin Monit Comput Original Research Current methods to measure cerebral blood flow (CBF) in the neuro critical care setting cannot monitor the CBF continuously. In contrast, continuous measurement of intracranial pressure (ICP) is readily accomplished, and there is a component of ICP that correlates with arterial inflow of blood into the cranial cavity. This property may have utility in using continuous ICP curve analysis to continuously estimate CBF. We examined the data from 13 patients, monitored with an intraventricular ICP device determining the pulsatile amplitude ICP(amp) as well as the area under the ICP curve (AUC(ICP)). Using an elastance measurement, the ICP curve was converted to craniospinal volume (AUC(ΔV)). The patients were examined with Phase Contrast Magnetic Resonance Imaging (MRI), measuring flow in the carotid and vertebral arteries. This made it possible to calculate CBF for one cardiac cycle (ccCBF(MRtot)) and divide it into the pulsatile (ccCBF(MRpuls)) and non-pulsatile (ccCBF(MRconst)) flow. ICP derived data and MRI measurements were compared. Linear regression was used to establish wellness of fit and ANOVA was used to calculate the P value. No correlation was found between ICP(amp) and the ccICP(MRpuls) (P = 0.067). In contrast there was a correlation between the AUC(ICP) and ccCBF(MRpuls) (R(2) = 0.440 P = 0.013). The AUC(ΔV) correlated more appropriately with the ccCBF(MRpuls). (R(2) = 0.688 P < 0.001). Our findings suggests that the pulsatile part of the intracranial pressure curve, especially when transformed into a volume curve, correlates to the pulsatile part of the CBF. Springer Netherlands 2018-03-16 2019 /pmc/articles/PMC6315053/ /pubmed/29549499 http://dx.doi.org/10.1007/s10877-018-0129-0 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Unnerbäck, Mårten Bloomfield, Eric L. Söderström, Sven Reinstrup, Peter The intracranial pressure curve correlates to the pulsatile component of cerebral blood flow |
title | The intracranial pressure curve correlates to the pulsatile component of cerebral blood flow |
title_full | The intracranial pressure curve correlates to the pulsatile component of cerebral blood flow |
title_fullStr | The intracranial pressure curve correlates to the pulsatile component of cerebral blood flow |
title_full_unstemmed | The intracranial pressure curve correlates to the pulsatile component of cerebral blood flow |
title_short | The intracranial pressure curve correlates to the pulsatile component of cerebral blood flow |
title_sort | intracranial pressure curve correlates to the pulsatile component of cerebral blood flow |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315053/ https://www.ncbi.nlm.nih.gov/pubmed/29549499 http://dx.doi.org/10.1007/s10877-018-0129-0 |
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